Side-by-side comparison · AI Agents & Automation
| Dimension | n8n | Semantic Kernel |
|---|---|---|
| Pricing | Free self-hosted community edition; managed cloud plans start at a modest monthly tier and scale with executions - verify current pricing on the official page | Free and open source SDK; you pay only for the model provider calls your application makes - verify current pricing on the official page |
| Free plan | Yes | Yes |
| Rating | β β β β β | β β β β β |
| Best for | technical teams, self-hosted automation, ai agent workflows and internal tooling | enterprise developers, .net and java applications, plugin architectures and ai features |
| Category | AI Agents & Automation | AI Agents & Automation |
If your priority is technical teams, self-hosted automation, ai agent workflows and internal tooling, n8n is the stronger pick. If instead you care more about enterprise developers, .net and java applications, plugin architectures and ai features, go with Semantic Kernel. For most people, trying both on a free tier is the fastest way to decide - they serve the same AI Agents & Automation space but differ in workflow and output style.
It depends on your task. n8n leads on technical teams, self-hosted automation, ai agent workflows and internal tooling; Semantic Kernel is better when you need enterprise developers, .net and java applications, plugin architectures and ai features. Try both free tiers.
Yes - many users keep one as the daily driver and the other for specific tasks where it is stronger.